Yiwen Wang
Orcid: 0000-0002-1878-6182Affiliations:
- Hong Kong University of Science and Technology
- Zhejiang University, Hangzhou, Qiushi Academy of Advanced Studies (former)
- University of Florida, Gainesville, FL, USA (former)
According to our database1,
Yiwen Wang
authored at least 69 papers
between 2006 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
A Novel KL Divergence Optimization Method for Aligning Neural Population Patterns During Task Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
A Kernel Reinforcement Learning Decoding Framework Integrating Neural and Feedback Signals for Brain Control.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Applying Neural Manifold Constraint on Point Process Model for Neural Spike Prediction.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Estimating Reward Function from Medial Prefrontal Cortex Cortical Activity using Inverse Reinforcement Learning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Cluster Kernel Reinforcement Learning-based Kalman Filter for Three-Lever Discrimination Task in Brain-Machine Interface.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Reinforcement Learning in Reproducing Kernel Hilbert Spaces: Enabling Continuous Brain?Machine Interface Adaptation.
IEEE Signal Process. Mag., 2021
Neural Comput., 2021
A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding.
Entropy, 2021
Cross-Intensity-Based Spatial-Temporal Clustering of Spike Trains for Brain State Estimation.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Reinforcement Learning-based Kalman Filter for Adaptive Brain Control in Brain-Machine Interface<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Multivariate Encoding Analysis of Medial Prefrontal Cortex Cortical Activity during Task Learning.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Kernel Temporal Difference based Reinforcement Learning for Brain Machine Interfaces<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Binless Kernel Machine: Modeling Spike Train Transformation for Cognitive Neural Prostheses.
Neural Comput., 2020
Investigating Co-Activation between Medial Prefrontal and Primary Motor Cortical Spike Trains during Task Learning.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Decoding Reward Information from Local Field Potential and Spikes in Medial Prefrontal Cortex of Rats.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Covariant Cluster Transfer for Kernel Reinforcement Learning in Brain-Machine Interface.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Reinforcement Learning based Decoding Using Internal Reward for Time Delayed Task in Brain Machine Interfaces.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Modelling mPFC Activities in Reinforcement Learning Framework for Brain-Machine Interfaces.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
A Weight Transfer Mechanism for Kernel Reinforcement Learning Decoding in Brain-Machine Interfaces.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
A K-Medoids based Point-Process Modeling on Neural Spike Transformation using Binless Kernel.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Time-frequency Relevancy Analysis between Local Field Potentials and Lever Pressing Motion of Rats.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
IEEE Trans. Cogn. Dev. Syst., 2018
Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model.
Neural Comput., 2018
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding.
IEEE Trans. Neural Networks Learn. Syst., 2017
Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification.
Frontiers Comput. Neurosci., 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2016
Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain-Machine Interfaces.
IEEE Trans. Biomed. Eng., 2016
Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
An Iterative Approach for EEG-Based Rapid Face Search: A Refined Retrieval by Brain Computer Interfaces.
IEEE Trans. Auton. Ment. Dev., 2015
IEEE Intell. Syst., 2015
A reconfigurable general behavior data acquisition system for motor brain machine interface.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Rapid face recognition based on single-trial event-related potential detection over multiple brains.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Prediction of switching time between movement preparation and execution by neural activity in monkey premotor cortex.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Decoding the non-stationary neuron spike trains by dual Monte Carlo point process estimation in motor Brain Machine Interfaces.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
2013
Universal stabilisation design for uncertain nonlinear system with sign-switching unknown control direction.
Int. J. Control, 2013
Corticomuscular Coherence Analysis on Hand Movement Distinction for Active Rehabilitation.
Comput. Math. Methods Medicine, 2013
Information Analysis on Neural Tuning in Dorsal Premotor Cortex for Reaching and Grasping.
Comput. Math. Methods Medicine, 2013
A Shared Control Policy for Center-Out Movement Decoding in Motor Brain-Machine Interface.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Semantic-based sound retrieval by ERP in rapid serial auditory presentation paradigm.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
A frequency-temporal-spatial method for motor-related electroencephalography pattern recognition by comprehensive feature optimization.
Comput. Biol. Medicine, 2012
Mutual information analysis on non-stationary neuron importance for brain machine interfaces.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
IEEE Trans. Circuits Syst. I Regul. Pap., 2011
Decoding the nonstationary neural activity in motor cortex for brain machine interfaces.
Int. J. Imaging Syst. Technol., 2011
Comparisons between linear and nonlinear methods for decoding motor cortical activities of monkey.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
FPGA implementation of hardware processing modules as coprocessors in brain-machine interfaces.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Universal Repetitive Learning Control for Nonparametric Uncertainty and Unknown State-Dependent Control Direction Matrix.
IEEE Trans. Autom. Control., 2010
2009
Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces.
Neural Networks, 2009
Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces.
Neural Comput., 2009
Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2007
A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Analysis of the Correlation between Local Field Potentials and Neuronal Firing Rate in the Motor Cortex.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006